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You searched for subject:(Apache Hadoop). Showing records 1 – 22 of 22 total matches.

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Rice University

1. Liu, Ruoyu. Performance Analysis and Optimization of Apache Pig.

Degree: MS, Engineering, 2014, Rice University

Apache Pig is a language, compiler, and run-time library for simplifying the development of data-analytics applications on Apache Hadoop. Specifically, it enables developers to write… (more)

Subjects/Keywords: Apache Hadoop; Apache Pig; MapReduce; Performance; Hash join

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APA (6th Edition):

Liu, R. (2014). Performance Analysis and Optimization of Apache Pig. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/88101

Chicago Manual of Style (16th Edition):

Liu, Ruoyu. “Performance Analysis and Optimization of Apache Pig.” 2014. Masters Thesis, Rice University. Accessed October 20, 2019. http://hdl.handle.net/1911/88101.

MLA Handbook (7th Edition):

Liu, Ruoyu. “Performance Analysis and Optimization of Apache Pig.” 2014. Web. 20 Oct 2019.

Vancouver:

Liu R. Performance Analysis and Optimization of Apache Pig. [Internet] [Masters thesis]. Rice University; 2014. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/1911/88101.

Council of Science Editors:

Liu R. Performance Analysis and Optimization of Apache Pig. [Masters Thesis]. Rice University; 2014. Available from: http://hdl.handle.net/1911/88101


University of North Texas

2. Venumuddala, Ramu Reddy. Distributed Frameworks Towards Building an Open Data Architecture.

Degree: 2015, University of North Texas

 Data is everywhere. The current Technological advancements in Digital, Social media and the ease at which the availability of different application services to interact with… (more)

Subjects/Keywords: Hadoop; Hive; MapReduce; Flume; Software architecture.; Data structures (Computer science); Apache Hadoop.

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APA (6th Edition):

Venumuddala, R. R. (2015). Distributed Frameworks Towards Building an Open Data Architecture. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc801911/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Venumuddala, Ramu Reddy. “Distributed Frameworks Towards Building an Open Data Architecture.” 2015. Thesis, University of North Texas. Accessed October 20, 2019. https://digital.library.unt.edu/ark:/67531/metadc801911/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Venumuddala, Ramu Reddy. “Distributed Frameworks Towards Building an Open Data Architecture.” 2015. Web. 20 Oct 2019.

Vancouver:

Venumuddala RR. Distributed Frameworks Towards Building an Open Data Architecture. [Internet] [Thesis]. University of North Texas; 2015. [cited 2019 Oct 20]. Available from: https://digital.library.unt.edu/ark:/67531/metadc801911/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Venumuddala RR. Distributed Frameworks Towards Building an Open Data Architecture. [Thesis]. University of North Texas; 2015. Available from: https://digital.library.unt.edu/ark:/67531/metadc801911/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

3. Hubregtsen, T.S. Evaluation of different storage systems for Apache Spark and Apache Hadoop:.

Degree: 2015, Delft University of Technology

 Big Data systems have been used for multiple years to solve problems that require scale. A framework takes care of scalability and resiliency issues, and… (more)

Subjects/Keywords: Apache Spark; Apache Hadoop; Big Data; IBM Power Systems; Flash; CAPI Flash

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APA (6th Edition):

Hubregtsen, T. S. (2015). Evaluation of different storage systems for Apache Spark and Apache Hadoop:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:df99a960-dc9c-460e-a066-1a0e12f791a1

Chicago Manual of Style (16th Edition):

Hubregtsen, T S. “Evaluation of different storage systems for Apache Spark and Apache Hadoop:.” 2015. Masters Thesis, Delft University of Technology. Accessed October 20, 2019. http://resolver.tudelft.nl/uuid:df99a960-dc9c-460e-a066-1a0e12f791a1.

MLA Handbook (7th Edition):

Hubregtsen, T S. “Evaluation of different storage systems for Apache Spark and Apache Hadoop:.” 2015. Web. 20 Oct 2019.

Vancouver:

Hubregtsen TS. Evaluation of different storage systems for Apache Spark and Apache Hadoop:. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2019 Oct 20]. Available from: http://resolver.tudelft.nl/uuid:df99a960-dc9c-460e-a066-1a0e12f791a1.

Council of Science Editors:

Hubregtsen TS. Evaluation of different storage systems for Apache Spark and Apache Hadoop:. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:df99a960-dc9c-460e-a066-1a0e12f791a1


The Ohio State University

4. Bhat, Adithya. RDMA-based Plugin Design and Profiler for Apache and Enterprise Hadoop Distributed File system.

Degree: MS, Computer Science and Engineering, 2015, The Ohio State University

 International Data Corporation states that the amount of global digital data is doubling every year. This increasing trend necessitates an increase in the computational power… (more)

Subjects/Keywords: Computer Science; HDFS; Hadoop; RDMA; InfiniBand; Apache; HDP; CDH

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APA (6th Edition):

Bhat, A. (2015). RDMA-based Plugin Design and Profiler for Apache and Enterprise Hadoop Distributed File system. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1440188090

Chicago Manual of Style (16th Edition):

Bhat, Adithya. “RDMA-based Plugin Design and Profiler for Apache and Enterprise Hadoop Distributed File system.” 2015. Masters Thesis, The Ohio State University. Accessed October 20, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1440188090.

MLA Handbook (7th Edition):

Bhat, Adithya. “RDMA-based Plugin Design and Profiler for Apache and Enterprise Hadoop Distributed File system.” 2015. Web. 20 Oct 2019.

Vancouver:

Bhat A. RDMA-based Plugin Design and Profiler for Apache and Enterprise Hadoop Distributed File system. [Internet] [Masters thesis]. The Ohio State University; 2015. [cited 2019 Oct 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1440188090.

Council of Science Editors:

Bhat A. RDMA-based Plugin Design and Profiler for Apache and Enterprise Hadoop Distributed File system. [Masters Thesis]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1440188090


University of Debrecen

5. Kántor, István. Nagy adathalmazok feldolgozása Hadoop rendszer segítségével .

Degree: DE – Informatikai Kar, University of Debrecen

 A folyamatos fejlődésnek köszönhetően napjainkban egyre gyorsabb ütemben egyre több információ halmozódik fel. Olyan nagyméretű adathalmazok jönnek létre, melyek tárolása és elemzése erőforrás igényük miatt… (more)

Subjects/Keywords: Apache Hadoop; Big Data; MapReduce

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APA (6th Edition):

Kántor, I. (n.d.). Nagy adathalmazok feldolgozása Hadoop rendszer segítségével . (Thesis). University of Debrecen. Retrieved from http://hdl.handle.net/2437/232450

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kántor, István. “Nagy adathalmazok feldolgozása Hadoop rendszer segítségével .” Thesis, University of Debrecen. Accessed October 20, 2019. http://hdl.handle.net/2437/232450.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kántor, István. “Nagy adathalmazok feldolgozása Hadoop rendszer segítségével .” Web. 20 Oct 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Kántor I. Nagy adathalmazok feldolgozása Hadoop rendszer segítségével . [Internet] [Thesis]. University of Debrecen; [cited 2019 Oct 20]. Available from: http://hdl.handle.net/2437/232450.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Kántor I. Nagy adathalmazok feldolgozása Hadoop rendszer segítségével . [Thesis]. University of Debrecen; Available from: http://hdl.handle.net/2437/232450

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


Hong Kong University of Science and Technology

6. Li, Wei. Storage optimization for large wide tables in Hadoop.

Degree: 2015, Hong Kong University of Science and Technology

 Recent advances in data warehousing technologies are enabling the storage and processing of extremely large data sets. In viewing this opportunity, the leading cross-bank settlement… (more)

Subjects/Keywords: Apache Hadoop; Big data; Data warehousing; Electronic data processing; Distributed processing

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APA (6th Edition):

Li, W. (2015). Storage optimization for large wide tables in Hadoop. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1487570 ; http://repository.ust.hk/ir/bitstream/1783.1-91344/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Wei. “Storage optimization for large wide tables in Hadoop.” 2015. Thesis, Hong Kong University of Science and Technology. Accessed October 20, 2019. https://doi.org/10.14711/thesis-b1487570 ; http://repository.ust.hk/ir/bitstream/1783.1-91344/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Wei. “Storage optimization for large wide tables in Hadoop.” 2015. Web. 20 Oct 2019.

Vancouver:

Li W. Storage optimization for large wide tables in Hadoop. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2015. [cited 2019 Oct 20]. Available from: https://doi.org/10.14711/thesis-b1487570 ; http://repository.ust.hk/ir/bitstream/1783.1-91344/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li W. Storage optimization for large wide tables in Hadoop. [Thesis]. Hong Kong University of Science and Technology; 2015. Available from: https://doi.org/10.14711/thesis-b1487570 ; http://repository.ust.hk/ir/bitstream/1783.1-91344/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

7. Gustafsson, Rebecca Bodegård. Big Data Arkitekturer : En studie om tekniska och organisatoriska för- och nackdelar vid val av Big Data arkitektur.

Degree: Informatics, 2015, University of Skövde

Explosionen av sociala medier, användandet av smartphones och den ständiga uppkopplingen till internet gör att mängden tillgänglig data idag hela tiden ökar. Det rör… (more)

Subjects/Keywords: Big Data arkitekturer databaser apache hadoop postgres-xl

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APA (6th Edition):

Gustafsson, R. B. (2015). Big Data Arkitekturer : En studie om tekniska och organisatoriska för- och nackdelar vid val av Big Data arkitektur. (Thesis). University of Skövde. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11314

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gustafsson, Rebecca Bodegård. “Big Data Arkitekturer : En studie om tekniska och organisatoriska för- och nackdelar vid val av Big Data arkitektur.” 2015. Thesis, University of Skövde. Accessed October 20, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11314.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gustafsson, Rebecca Bodegård. “Big Data Arkitekturer : En studie om tekniska och organisatoriska för- och nackdelar vid val av Big Data arkitektur.” 2015. Web. 20 Oct 2019.

Vancouver:

Gustafsson RB. Big Data Arkitekturer : En studie om tekniska och organisatoriska för- och nackdelar vid val av Big Data arkitektur. [Internet] [Thesis]. University of Skövde; 2015. [cited 2019 Oct 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11314.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gustafsson RB. Big Data Arkitekturer : En studie om tekniska och organisatoriska för- och nackdelar vid val av Big Data arkitektur. [Thesis]. University of Skövde; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11314

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rutgers University

8. Pandhe, Shraddha, 1987-. Design and implementation of distributed mobile computing platform using Hadoop.

Degree: MS, Electrical and Computer Engineering, 2013, Rutgers University

 This thesis is aimed at design and evaluation of a distributed cloud computing platform using mobile nodes connected via cellular network. Such a “Mobile Cloud”… (more)

Subjects/Keywords: Cloud computing; Electronic data processing – Distributed processing – Programming; Apache Hadoop

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APA (6th Edition):

Pandhe, Shraddha, 1. (2013). Design and implementation of distributed mobile computing platform using Hadoop. (Masters Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/41887/

Chicago Manual of Style (16th Edition):

Pandhe, Shraddha, 1987-. “Design and implementation of distributed mobile computing platform using Hadoop.” 2013. Masters Thesis, Rutgers University. Accessed October 20, 2019. https://rucore.libraries.rutgers.edu/rutgers-lib/41887/.

MLA Handbook (7th Edition):

Pandhe, Shraddha, 1987-. “Design and implementation of distributed mobile computing platform using Hadoop.” 2013. Web. 20 Oct 2019.

Vancouver:

Pandhe, Shraddha 1. Design and implementation of distributed mobile computing platform using Hadoop. [Internet] [Masters thesis]. Rutgers University; 2013. [cited 2019 Oct 20]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/41887/.

Council of Science Editors:

Pandhe, Shraddha 1. Design and implementation of distributed mobile computing platform using Hadoop. [Masters Thesis]. Rutgers University; 2013. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/41887/


Arizona State University

9. Motamarri, Lakshminarayana. Large Scale Analytical Insights of Email Communication Patterns.

Degree: MS, Computer Science, 2011, Arizona State University

 This thesis research attempts to observe, measure and visualize the communication patterns among developers of an open source community and analyze how this can be… (more)

Subjects/Keywords: Computer Science; Apache Pig; Communication Patterns; Hadoop; Measurement; Software Project Monitoring

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APA (6th Edition):

Motamarri, L. (2011). Large Scale Analytical Insights of Email Communication Patterns. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/9485

Chicago Manual of Style (16th Edition):

Motamarri, Lakshminarayana. “Large Scale Analytical Insights of Email Communication Patterns.” 2011. Masters Thesis, Arizona State University. Accessed October 20, 2019. http://repository.asu.edu/items/9485.

MLA Handbook (7th Edition):

Motamarri, Lakshminarayana. “Large Scale Analytical Insights of Email Communication Patterns.” 2011. Web. 20 Oct 2019.

Vancouver:

Motamarri L. Large Scale Analytical Insights of Email Communication Patterns. [Internet] [Masters thesis]. Arizona State University; 2011. [cited 2019 Oct 20]. Available from: http://repository.asu.edu/items/9485.

Council of Science Editors:

Motamarri L. Large Scale Analytical Insights of Email Communication Patterns. [Masters Thesis]. Arizona State University; 2011. Available from: http://repository.asu.edu/items/9485


NSYSU

10. Chuang, Shun-hsien. The study of a big data platform for mining computation and storage : the case study of national health insurance database.

Degree: Master, Computer Science and Engineering, 2015, NSYSU

 Our country has a complete national health insurance. The treatment records of patients are recorded into the National Health Insurance Research Database. With the treatment… (more)

Subjects/Keywords: Impala; Big Data Computing; Apache Hadoop; Hive on Spark; Apache Hive; National Health Insurance Research Database

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APA (6th Edition):

Chuang, S. (2015). The study of a big data platform for mining computation and storage : the case study of national health insurance database. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624115-131244

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chuang, Shun-hsien. “The study of a big data platform for mining computation and storage : the case study of national health insurance database.” 2015. Thesis, NSYSU. Accessed October 20, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624115-131244.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chuang, Shun-hsien. “The study of a big data platform for mining computation and storage : the case study of national health insurance database.” 2015. Web. 20 Oct 2019.

Vancouver:

Chuang S. The study of a big data platform for mining computation and storage : the case study of national health insurance database. [Internet] [Thesis]. NSYSU; 2015. [cited 2019 Oct 20]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624115-131244.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chuang S. The study of a big data platform for mining computation and storage : the case study of national health insurance database. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624115-131244

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. Moser, Matjaž. COMPARISON OF MYSQL, NEO4J AND APACHE HIVE DATABASE MANAGEMENT SYSTEMS.

Degree: 2016, Univerza v Mariboru

In this work a comparison of three different database management systems (DBMS) is presented. In general a relational data model with a graph data model… (more)

Subjects/Keywords: Neo4j; MySQL; Apache Hadoop/Hive; database comparison; data visualisation; Neo4j; MySQL; Apache Hadoop/Hive; primerjava sistemov za upravljanje podatkovih baz; vizualizacija podatkov

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APA (6th Edition):

Moser, M. (2016). COMPARISON OF MYSQL, NEO4J AND APACHE HIVE DATABASE MANAGEMENT SYSTEMS. (Masters Thesis). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=57729 ; https://dk.um.si/Dokument.php?id=87171&dn= ; https://plus.si.cobiss.net/opac7/bib/7575827?lang=sl

Chicago Manual of Style (16th Edition):

Moser, Matjaž. “COMPARISON OF MYSQL, NEO4J AND APACHE HIVE DATABASE MANAGEMENT SYSTEMS.” 2016. Masters Thesis, Univerza v Mariboru. Accessed October 20, 2019. https://dk.um.si/IzpisGradiva.php?id=57729 ; https://dk.um.si/Dokument.php?id=87171&dn= ; https://plus.si.cobiss.net/opac7/bib/7575827?lang=sl.

MLA Handbook (7th Edition):

Moser, Matjaž. “COMPARISON OF MYSQL, NEO4J AND APACHE HIVE DATABASE MANAGEMENT SYSTEMS.” 2016. Web. 20 Oct 2019.

Vancouver:

Moser M. COMPARISON OF MYSQL, NEO4J AND APACHE HIVE DATABASE MANAGEMENT SYSTEMS. [Internet] [Masters thesis]. Univerza v Mariboru; 2016. [cited 2019 Oct 20]. Available from: https://dk.um.si/IzpisGradiva.php?id=57729 ; https://dk.um.si/Dokument.php?id=87171&dn= ; https://plus.si.cobiss.net/opac7/bib/7575827?lang=sl.

Council of Science Editors:

Moser M. COMPARISON OF MYSQL, NEO4J AND APACHE HIVE DATABASE MANAGEMENT SYSTEMS. [Masters Thesis]. Univerza v Mariboru; 2016. Available from: https://dk.um.si/IzpisGradiva.php?id=57729 ; https://dk.um.si/Dokument.php?id=87171&dn= ; https://plus.si.cobiss.net/opac7/bib/7575827?lang=sl


Louisiana State University

12. Kondikoppa, Praveenkumar. Performance Improvement of Distributed Computing Framework and Scientific Big Data Analysis.

Degree: PhD, Computer Sciences, 2014, Louisiana State University

 Analysis of Big data to gain better insights has been the focus of researchers in the recent past. Traditional desktop computers or database management systems… (more)

Subjects/Keywords: MapReduce; Hadoop; Scheduler; Suffix Tree; Distributed Computing; Indexing; Genome; Parallel; Assembler; Apache Giraph; Pregel; PGA

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APA (6th Edition):

Kondikoppa, P. (2014). Performance Improvement of Distributed Computing Framework and Scientific Big Data Analysis. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-07092014-152032 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3687

Chicago Manual of Style (16th Edition):

Kondikoppa, Praveenkumar. “Performance Improvement of Distributed Computing Framework and Scientific Big Data Analysis.” 2014. Doctoral Dissertation, Louisiana State University. Accessed October 20, 2019. etd-07092014-152032 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3687.

MLA Handbook (7th Edition):

Kondikoppa, Praveenkumar. “Performance Improvement of Distributed Computing Framework and Scientific Big Data Analysis.” 2014. Web. 20 Oct 2019.

Vancouver:

Kondikoppa P. Performance Improvement of Distributed Computing Framework and Scientific Big Data Analysis. [Internet] [Doctoral dissertation]. Louisiana State University; 2014. [cited 2019 Oct 20]. Available from: etd-07092014-152032 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3687.

Council of Science Editors:

Kondikoppa P. Performance Improvement of Distributed Computing Framework and Scientific Big Data Analysis. [Doctoral Dissertation]. Louisiana State University; 2014. Available from: etd-07092014-152032 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3687


University of Saskatchewan

13. Adekoya, Owolabi O 1982-. Understanding Spark System Performance for Image Processing in a Heterogeneous Commodity Cluster.

Degree: 2018, University of Saskatchewan

 In recent years, Apache Spark has seen a widespread adoption in industries and institutions due to its cache mechanism for faster Big Data analytics. However,… (more)

Subjects/Keywords: Apache Spark; Big Data; Hadoop Distributed File System (HDFS); Plant Phenotyping and Imaging Research Centre

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APA (6th Edition):

Adekoya, O. O. 1. (2018). Understanding Spark System Performance for Image Processing in a Heterogeneous Commodity Cluster. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/9533

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Adekoya, Owolabi O 1982-. “Understanding Spark System Performance for Image Processing in a Heterogeneous Commodity Cluster.” 2018. Thesis, University of Saskatchewan. Accessed October 20, 2019. http://hdl.handle.net/10388/9533.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Adekoya, Owolabi O 1982-. “Understanding Spark System Performance for Image Processing in a Heterogeneous Commodity Cluster.” 2018. Web. 20 Oct 2019.

Vancouver:

Adekoya OO1. Understanding Spark System Performance for Image Processing in a Heterogeneous Commodity Cluster. [Internet] [Thesis]. University of Saskatchewan; 2018. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/10388/9533.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Adekoya OO1. Understanding Spark System Performance for Image Processing in a Heterogeneous Commodity Cluster. [Thesis]. University of Saskatchewan; 2018. Available from: http://hdl.handle.net/10388/9533

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

14. Sobreiro , Saulo Abel Ramos. Estudo de tecnologias para sistemas de Big Data.

Degree: 2018, Instituto Politécnico do Porto

Big Data é um conceito da moda, consequência da evolução tecnológica dos últimos anos, que tem potenciado o aumento do volume de dados gerados diariamente.… (more)

Subjects/Keywords: Big Data; Apache Hadoop; Arquitetura Lambda; Arquitetura Kappa; Lambda Architecture; Kappa Architecture; Sistemas Computacionais

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APA (6th Edition):

Sobreiro , S. A. R. (2018). Estudo de tecnologias para sistemas de Big Data. (Thesis). Instituto Politécnico do Porto. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/11936

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sobreiro , Saulo Abel Ramos. “Estudo de tecnologias para sistemas de Big Data.” 2018. Thesis, Instituto Politécnico do Porto. Accessed October 20, 2019. https://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/11936.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sobreiro , Saulo Abel Ramos. “Estudo de tecnologias para sistemas de Big Data.” 2018. Web. 20 Oct 2019.

Vancouver:

Sobreiro SAR. Estudo de tecnologias para sistemas de Big Data. [Internet] [Thesis]. Instituto Politécnico do Porto; 2018. [cited 2019 Oct 20]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/11936.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sobreiro SAR. Estudo de tecnologias para sistemas de Big Data. [Thesis]. Instituto Politécnico do Porto; 2018. Available from: https://www.rcaap.pt/detail.jsp?id=oai:recipp.ipp.pt:10400.22/11936

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Vanderbilt University

15. Bao, Shunxing. Algorithmic Enhancements to Data Colocation Grid Frameworks for Big Data Medical Image Processing.

Degree: PhD, Computer Science, 2018, Vanderbilt University

 Large-scale medical imaging studies to date have predominantly leveraged in-house, laboratory-based or traditional grid computing resources for their computing needs, where the applications often use… (more)

Subjects/Keywords: cloud computing; grid computing; medical image processing; Apache Hadoop ecosystem; Big data infrastructure

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bao, S. (2018). Algorithmic Enhancements to Data Colocation Grid Frameworks for Big Data Medical Image Processing. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-11222018-050053/ ;

Chicago Manual of Style (16th Edition):

Bao, Shunxing. “Algorithmic Enhancements to Data Colocation Grid Frameworks for Big Data Medical Image Processing.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed October 20, 2019. http://etd.library.vanderbilt.edu/available/etd-11222018-050053/ ;.

MLA Handbook (7th Edition):

Bao, Shunxing. “Algorithmic Enhancements to Data Colocation Grid Frameworks for Big Data Medical Image Processing.” 2018. Web. 20 Oct 2019.

Vancouver:

Bao S. Algorithmic Enhancements to Data Colocation Grid Frameworks for Big Data Medical Image Processing. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2019 Oct 20]. Available from: http://etd.library.vanderbilt.edu/available/etd-11222018-050053/ ;.

Council of Science Editors:

Bao S. Algorithmic Enhancements to Data Colocation Grid Frameworks for Big Data Medical Image Processing. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://etd.library.vanderbilt.edu/available/etd-11222018-050053/ ;


University of New Orleans

16. Dahal, Janak. Assessing Apache Spark Streaming with Scientific Data.

Degree: MS, Computer Science, 2018, University of New Orleans

  Processing real-world data requires the ability to analyze data in real-time. Data processing engines like Hadoop come short when results are needed on the… (more)

Subjects/Keywords: Hadoop, Streaming, Apache Spark, real-time processing, fault tolerance, cluster, scalability; Other Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dahal, J. (2018). Assessing Apache Spark Streaming with Scientific Data. (Thesis). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/2506

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dahal, Janak. “Assessing Apache Spark Streaming with Scientific Data.” 2018. Thesis, University of New Orleans. Accessed October 20, 2019. https://scholarworks.uno.edu/td/2506.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dahal, Janak. “Assessing Apache Spark Streaming with Scientific Data.” 2018. Web. 20 Oct 2019.

Vancouver:

Dahal J. Assessing Apache Spark Streaming with Scientific Data. [Internet] [Thesis]. University of New Orleans; 2018. [cited 2019 Oct 20]. Available from: https://scholarworks.uno.edu/td/2506.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dahal J. Assessing Apache Spark Streaming with Scientific Data. [Thesis]. University of New Orleans; 2018. Available from: https://scholarworks.uno.edu/td/2506

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

17. Horečný, Peter. Výpočetní úlohy pro předmět Paralelní zpracování dat .

Degree: 2018, Brno University of Technology

 Cieľom tejto práce bolo vytvoriť laboratórne úlohy pre predmet „Paralelní zpracování dat“, pomocou ktorých sa študenti zoznámia s prácou a možnosťami technológie Apache Spark. Úlohy… (more)

Subjects/Keywords: Apache Hadoop; Apache Spark; klasifikácia; lineárna regresia; paralelné spracovanie dát; početné vzory; strojové učenie; veľké objemy dát; zhlukovanie dát; Apache Hadoop; Apache Spark; classification; linear regression; parallel data processing; frequent patterns; machine learning; big data; clustering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Horečný, P. (2018). Výpočetní úlohy pro předmět Paralelní zpracování dat . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/82383

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Horečný, Peter. “Výpočetní úlohy pro předmět Paralelní zpracování dat .” 2018. Thesis, Brno University of Technology. Accessed October 20, 2019. http://hdl.handle.net/11012/82383.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Horečný, Peter. “Výpočetní úlohy pro předmět Paralelní zpracování dat .” 2018. Web. 20 Oct 2019.

Vancouver:

Horečný P. Výpočetní úlohy pro předmět Paralelní zpracování dat . [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/11012/82383.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Horečný P. Výpočetní úlohy pro předmět Paralelní zpracování dat . [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/82383

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

18. Melkes, Miloslav. BigData řešení pro zpracování rozsáhlých dat ze síťových toků .

Degree: 2014, Brno University of Technology

 Tato diplomová práce se zaměřuje na problematiku distribuovaného zpracování velkých dat ze síťové komunikace. Začíná analýzou síťové komunikace založené na modelu TCP/IP se zaměřením na… (more)

Subjects/Keywords: TCP/IP; libpcap; WinPcap; Netflow; PCAP; Wireshark; Big Data; MapReduce; Apache Hadoop; HDFS; MongoDB; síťový tok; TCP/IP; libpcap; WinPcap; Netflow; PCAP; Wireshark; Big Data; MapReduce; Apache Hadoop; HDFS; MongoDB; network flow

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Melkes, M. (2014). BigData řešení pro zpracování rozsáhlých dat ze síťových toků . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53282

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Melkes, Miloslav. “BigData řešení pro zpracování rozsáhlých dat ze síťových toků .” 2014. Thesis, Brno University of Technology. Accessed October 20, 2019. http://hdl.handle.net/11012/53282.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Melkes, Miloslav. “BigData řešení pro zpracování rozsáhlých dat ze síťových toků .” 2014. Web. 20 Oct 2019.

Vancouver:

Melkes M. BigData řešení pro zpracování rozsáhlých dat ze síťových toků . [Internet] [Thesis]. Brno University of Technology; 2014. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/11012/53282.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Melkes M. BigData řešení pro zpracování rozsáhlých dat ze síťových toků . [Thesis]. Brno University of Technology; 2014. Available from: http://hdl.handle.net/11012/53282

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

19. Nghiem, Peter P. Towards Efficient Resource Provisioning in Hadoop.

Degree: PhD, Computer Engineering, 2017, Santa Clara University

  Considering recent exponential growth in the amount of information processed in Big Data, the high energy consumed by data processing engines in datacenters has… (more)

Subjects/Keywords: Best Trade-off Point; Hadoop MapReduce; Apache Spark; YARN; Optimal resource provisioning; Dynamic resource allocation; Energy efficiency; Performance efficiency; Yield curve; Exponential decay curve; Elbow curve; Computer Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nghiem, P. P. (2017). Towards Efficient Resource Provisioning in Hadoop. (Doctoral Dissertation). Santa Clara University. Retrieved from https://scholarcommons.scu.edu/eng_phd_theses/10

Chicago Manual of Style (16th Edition):

Nghiem, Peter P. “Towards Efficient Resource Provisioning in Hadoop.” 2017. Doctoral Dissertation, Santa Clara University. Accessed October 20, 2019. https://scholarcommons.scu.edu/eng_phd_theses/10.

MLA Handbook (7th Edition):

Nghiem, Peter P. “Towards Efficient Resource Provisioning in Hadoop.” 2017. Web. 20 Oct 2019.

Vancouver:

Nghiem PP. Towards Efficient Resource Provisioning in Hadoop. [Internet] [Doctoral dissertation]. Santa Clara University; 2017. [cited 2019 Oct 20]. Available from: https://scholarcommons.scu.edu/eng_phd_theses/10.

Council of Science Editors:

Nghiem PP. Towards Efficient Resource Provisioning in Hadoop. [Doctoral Dissertation]. Santa Clara University; 2017. Available from: https://scholarcommons.scu.edu/eng_phd_theses/10


Brno University of Technology

20. Hubík, Filip. Návrh a implementace testovacího systému na architektuře GRID .

Degree: 2013, Brno University of Technology

 Tento diplomový projekt se zabývá problematikou paralelizace sestavování a testovaní aplikací tvořených v jazyce Java. Navrhuje software, který s využitím metod postupné integrace, paralelizace a… (more)

Subjects/Keywords: grid Jenkins Hudson Java Red Hat open source MapReduce Maven TestNG Junit Infi- nispan GridGain Apache Hadoop Classloader JVM javac paralelizace testování compilace distribuce SwitchYard ModeShape; grid Jenkins Hudson Java Red Hat open source MapReduce Maven TestNG Junit Infi- nispan GridGain Apache Hadoop Classloader JVM javac parallelization testing compiling distribution SwitchYard ModeShape

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APA (6th Edition):

Hubík, F. (2013). Návrh a implementace testovacího systému na architektuře GRID . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53495

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hubík, Filip. “Návrh a implementace testovacího systému na architektuře GRID .” 2013. Thesis, Brno University of Technology. Accessed October 20, 2019. http://hdl.handle.net/11012/53495.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hubík, Filip. “Návrh a implementace testovacího systému na architektuře GRID .” 2013. Web. 20 Oct 2019.

Vancouver:

Hubík F. Návrh a implementace testovacího systému na architektuře GRID . [Internet] [Thesis]. Brno University of Technology; 2013. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/11012/53495.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hubík F. Návrh a implementace testovacího systému na architektuře GRID . [Thesis]. Brno University of Technology; 2013. Available from: http://hdl.handle.net/11012/53495

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

21. Benkő, Krisztián. Zpracování velkých dat z rozsáhlých IoT sítí .

Degree: 2019, Brno University of Technology

 Cieľom tejto diplomovej práce je návrh a vytvorenie systému pre zber, spracovanie a ukladanie dát z rosiahlych IoT sietí. Vytvorený systém predstavuje komplexné riešenie, umožňujúce… (more)

Subjects/Keywords: BigData; IoT; Apache; Hadoop; databáza; NoSQL; distribuovaný súborový systém; Java; real-time; HDFS; Flume; Spark; informačný systém; OpenTSDB; Grafana; HBase; Avro; dávkové spracovanie; lineárna regresia; predikcie; Ambari; IQRF; BigData; IoT; Apache; Hadoop; database; NoSQL; distributed file system; Java; real-time; HDFS; Flume; Spark; information system; OpenTSDB; Grafana; HBase; Avro; batch processing; linear regression; predictions; Ambari; IQRF

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Benkő, K. (2019). Zpracování velkých dat z rozsáhlých IoT sítí . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180622

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Benkő, Krisztián. “Zpracování velkých dat z rozsáhlých IoT sítí .” 2019. Thesis, Brno University of Technology. Accessed October 20, 2019. http://hdl.handle.net/11012/180622.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Benkő, Krisztián. “Zpracování velkých dat z rozsáhlých IoT sítí .” 2019. Web. 20 Oct 2019.

Vancouver:

Benkő K. Zpracování velkých dat z rozsáhlých IoT sítí . [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/11012/180622.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Benkő K. Zpracování velkých dat z rozsáhlých IoT sítí . [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180622

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

22. Ayyalasomayajula, Haripriya 1992-. AN EVALUATION OF THE SPARK PROGRAMMING MODEL FOR BIG DATA ANALYTICS.

Degree: Computer Science, Department of, 2015, University of Houston

 The focus of companies like Google, Amazon etc. is to gain competitive business advantage from the insights drawn by processing petabytes of data. Big Data… (more)

Subjects/Keywords: Big Data Analytics; Hadoop; MapReduce; Apache Spark; MLib; HBase; Computer science

…thesis is to evaluate the performance offered by Apache Spark 10 over Hadoop MapReduce by… …offered by Hadoop and also overcomes its limitations. 12 2.1 Overview of Spark Apache Spark… …3.2.2 3.3 Using Apache Spark . . . . . . . . . . . . . . . . . . . . . . . 29… …using Apache Mahout . . . . . . . . . . . 40 4.2.2 K-Means Clustering using Apache Spark… …44 5 Integration With HBase 5.1 5.2 46 Using HBase with Hadoop MapReduce… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ayyalasomayajula, H. 1. (2015). AN EVALUATION OF THE SPARK PROGRAMMING MODEL FOR BIG DATA ANALYTICS. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/1130

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ayyalasomayajula, Haripriya 1992-. “AN EVALUATION OF THE SPARK PROGRAMMING MODEL FOR BIG DATA ANALYTICS.” 2015. Thesis, University of Houston. Accessed October 20, 2019. http://hdl.handle.net/10657/1130.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ayyalasomayajula, Haripriya 1992-. “AN EVALUATION OF THE SPARK PROGRAMMING MODEL FOR BIG DATA ANALYTICS.” 2015. Web. 20 Oct 2019.

Vancouver:

Ayyalasomayajula H1. AN EVALUATION OF THE SPARK PROGRAMMING MODEL FOR BIG DATA ANALYTICS. [Internet] [Thesis]. University of Houston; 2015. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/10657/1130.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ayyalasomayajula H1. AN EVALUATION OF THE SPARK PROGRAMMING MODEL FOR BIG DATA ANALYTICS. [Thesis]. University of Houston; 2015. Available from: http://hdl.handle.net/10657/1130

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.